Senior Director, Portfolio Reporting & Analytics
Role Summary
The Senior Director, Portfolio Reporting & Analytics is a strategic enterprise leader responsible for designing, building, and scaling a state-of-the-art reporting, analytics, and insights capability across our clinical development portfolio. This role establishes a single source of truth for study, program, and portfolio performance; delivers trusted time, cost, and quality insights; and enables confident, data-driven decisions by study teams, functional leaders, Governance, Dyne’s Executive Committee and Board.
Primary Responsibilities
Enterprise Data & Insights Strategy: Define, and advance a next-generation clinical and portfolio insights platform that delivers trusted, real-time reporting and analytics across studies, programs, and the portfolio—enabling monitoring of time, cost, and quality and supporting decision-making from study and program teams to the Executive Committee and Board.
Data Foundation & Technology: Enablement: In close partnership with IT/Digital, architect a centralized operational data infrastructure (e.g., data lake/warehouse, semantic layer, data products) that powers consistent analytics and self-service business intelligence.
Analytics, KPIs & Methodologies: Develop streamlined, standard analytical frameworks and methodologies (definitions, metric specifications, visualization standards) to drive consistency and comparability across the organization. Define and operationalize clinical study, program, and portfolio KPIs (e.g., cycle times, site activation and enrollment velocity, budget adherence, deviation/quality indicators, vendor performance, milestone attainment) and performance analytics.
AI-Enabled Prescriptive Insights: Lead the creation of advanced analytics and simulation capabilities to predict and optimize development timelines, costs, and risks (e.g., slippage forecasting, patient enrollment trajectories, budget risks, operational risks), including evaluation of operational implications.
Country/Site Intelligence & Study Delivery: Develop predictive country and site selection analytics to optimize trial delivery (start-up speed, enrollment yield, data quality, cost) and inform feasibility and country footprint decisions. Establish a study-level insights platform that leverages structured operational data to provide site- and PI-level insights (enrollment health, quality, cost, competitive trial density) to study teams and vendor partners.
Resource Management & Capacity Planning: Design and institutionalize an integrated resource management capability that dynamically analyzes resource demand vs. actuals across the portfolio; predicts AI-enabled resource demand; and highlights capacity bottlenecks for scarce skills/roles in close partnership with HR and functional leaders.
Operating Model, Change & Adoption: Drive change management and adoption of new analytics capabilities, ensuring insights are embedded in business rhythms (governance reviews, QBRs, portfolio prioritization, study health checks).
Education And Skills Requirements
Bachelor’s degree in quantitative or life sciences field (e.g., Statistics, Data Science, Engineering, Operations Research, Epidemiology, Pharmacy, Biology). Preferred: Master’s or PhD in Data Science, Biostatistics, Operations Research, or related discipline; MBA a plus.
15+ years of increasing responsibility in biopharma/biotech R&D with a focus on clinical operations analytics, portfolio management, or development operations, including 5+ years leading multi-disciplinary teams.
Proven track record building enterprise data & analytics platforms and single source of truth solutions for R&D portfolios, integrating internal and external/vendor data (e.g., CRO feeds, benchmarks).
Demonstrated expertise with portfolio, program, and study KPIs, operational planning and plan vs. actual analysis, and scenario modeling for timelines, costs, risks, and resources.
Hands-on experience with advanced analytics/ML (forecasting, simulation, optimization) and turning algorithms into operational tools that drive business decisions.
Strong understanding of the clinical development lifecycle, including feasibility, site activation, enrollment, data management, monitoring, and close-out; familiarity with GCP/GxP, data privacy, and validation expectations for decision-support tools.
Executive presence with the ability to influence senior stakeholders (Governance/EC), translate complex analytics into clear narratives, and drive enterprise alignment.
Collaborative corporate leader who partners effectively with other senior leaders to advance the company’s mission and portfolio.
Exceptional ability to influence without direct authority across all organizational levels, including senior functional leaders.
Exceptional verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences (written, verbal and presentation).
Ability to interpret and communicate complex data to diverse audiences.
As a plus:
Experience with site/country selection analytics, enrollment prediction, and vendor performance analytics.
Familiarity with R&D systems (e.g., CTMS, EDC, eTMF, RTSM, safety, eCOA), portfolio/financial planning (e.g., enterprise planning tools), and HR capacity planning.
Experience with data governance (metadata, MDM), data product management, and adoption at scale.
Additional Information
MA Pay Range: $233,000 - $285,000 USD